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Local Regularity Analysis with Wavelet Transform in Gear Tooth Failure Detection


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[1] V. Kotila, S. Lahdelma and K. Ruotsalainen, ”Wavelet-based Ho¨lder regularity analys is in condition monitoring”, in Integral Methods in Science and Engineering. Computational methods, vol. 2, M.E. Pe´rez, Ed. Boston: Birkha¨user, 2010, pp. 233-242.10.1007/978-0-8176-4897-8_22Search in Google Scholar

[2] S. Mallat and W.L. Hwang, ”Singularity detection and processing with wavelets”, IEEE Transactions on Information Theory, vol. 38, no. 2, pp. 617-643, 1992.10.1109/18.119727Search in Google Scholar

[3] W. Briggs and V. E. Henson, The DFT An Owner’s Manual for the Discrete Fourier Transform. Philadelphia (PA): Society for Industrial and Applied Mathematics, 1995.10.1137/1.9781611971514Search in Google Scholar

[4] M.A. Pinsky, Introduction to Fourier analysis and Wavelets. Pacific Grove: Brooks/Cole, 2002.Search in Google Scholar

[5] A.H. Zemanian, Distribution Theory and Transform Analysis: An Introduction to Generalized Functions, with Applications. New York: Dover Publications, 1987.Search in Google Scholar

[6] J. Nissilä and E. Juuso, ”Extracting vibration severity time histories from epicyclic gearboxes”, in Proc. The 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, 2016, pp. 385-391.Search in Google Scholar

[7] C.M. Vicuña, “ Contributions to the analysis of vibrations and acoustic emissions for the condition monitoring of epicyclic gearboxes”, Ph.D. dissertation, Aachener Schriften zur Rohstoff- und Entsorgungstechnik des Instituts für Maschinentechnik der Rohstoffindustrie, Institut für Maschinentechnik der Rohstoffindustrie, 2010.Search in Google Scholar

[8] J. Immonen, S. Lahdelma and E. Juuso, ”Condition monitoring of an epicyclic gearbox at a water power station”, in Proc. The 53rd Scandinavian Conference on Simulation and Modelling, Reykjavik, Iceland, 2012, pp. 99-105.Search in Google Scholar

[9] R.P. Nikula, K. Leiviskä and K. Karioja, ”Epicyclic gearbox monitoring in a hydroelectric power plant with varying load”, in Proc. 12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Oxford, UK, 2015.Search in Google Scholar